| 姓名消歧方法研究进展 |
| |
| 引用本文： | 付媛,朱礼军,韩红旗.姓名消歧方法研究进展[J].情报工程,2016,2(1):053-058. |
| |
| 作者姓名： | 付媛 朱礼军 韩红旗 |
| |
| 作者单位： | 中国科学技术信息研究所 北京 100038 |
| |
| 基金项目： | 国家“十二五”科技支撑计划“面向科技情报分析的信息服务资源与开发与支撑技术研究”（编号：2015BAH25F01）。 |
| |
| 摘 要： | 为应对日益严重的姓名歧义现象给提高搜索引擎查全率和查准率带来的挑战,同时给姓名消歧方法研究提供参考建议,对研究现状和主要成果进行总结.首先,介绍研究姓名消歧的目的和意义.其次,对国内外现有姓名消歧方法研究进展进行梳理,主要方法包括基于特征的、基于机器学习的、基于社会网络的、基于网络知识资源的姓名消歧等多种方法来解决姓名歧义问题.最后,文章分析各种方法的特征和不足,总结姓名消歧待解决的问题以及未来的研究方向.
|
| 关 键 词： | 姓名消歧 机器学习 聚类 |
A Survey of Name Disambiguation |
| |
| Authors: | Fu Yuan Zhu Lijun and Han Hongqi |
| |
| Institution: | Institute of Scientific and Technical Information of China,Institute of Scientific and Technical Information of China and Institute of Scientific and Technical Information of China |
| |
| Abstract: | The paper studics the increasingly serious name ambiguity problem to improve the recall ratio and precision ratio of search engine, and provides suggestions for future research. Firstly, the purpose and meaning of name disambiguation are introduced. Secondly, the researches on name disambiguation methods in China and abroad are summarized. Main methods include those based on feature, machine learning, social network and the Internet resources to solve the problem of name ambiguity. Finally, the paper concludes the problem of name disambiguation to be solved and points out the direction of name disambiguation development. |
| |
| Keywords: | Name disambiguation machine learning clustering |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《情报工程》浏览原始摘要信息 |
| 点击此处可从《情报工程》下载免费的PDF全文 |
|
